cross_validate_lambda: Helper function for running cross validation on a sequence of...

In yanwu2014/perturbLM: A lightweight R package that uses linear models to analyze the effects of chemical/genetic perturbations, conditions, and disease states on single gene expression.

Helper function for running cross validation on a sequence of lambda values for the mgaussian family

Description

Helper function for running cross validation on a sequence of lambda values for the mgaussian family

Usage

cross_validate_lambda(x, y, groups, alpha, lambda, folds, seq.lambda.pred)

Arguments

x	Design matrix + covariates matrix
y	Expression response
groups	Perturbation dictionary (in list format) or named vector
alpha	Alpha value
lambda	lambda values to test
folds	List of train/test splits
seq.lambda.pred	Predict expression at each lambda value sequentially to save memory
metric	Metric to use for evaluation (pearson, spearman)
family	GLM family to use for elasticnet (default: mgaussian)

Value

Matrix of cross validation correlations per fold

yanwu2014/perturbLM documentation built on Aug. 24, 2023, 2:28 p.m.